A Unified Framework for Uncertainty, Compatibility Analysis, and Data Fusion for Multi-Stereo 3-D Shape Estimation

Cecco, M. De; Pertile, Marco; Baglivo, L.; Lunardelli, Massimo; Setti, Francesco; Tavernini, Mattia

doi:10.1109/tim.2010.2060930

Cited by 14 publications

(5 citation statements)

References 10 publications

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“…This was chosen instead of a multi-stereo approach that can provide a better accuracy, if uncertainty is properly estimated as in [6,7]. Differently, multi-camera provides smoother points trajectories while multi-stereo reconstruction tends to generate marker "jumps" from one stereo pair to another, which ends up with also a jump in the corresponding 3D position.…”

Section: Image Processing For Shape Reconstructionmentioning

confidence: 99%

Garment-based motion capture (GaMoCap): high-density capture of human shape in motion

Biasi

Setti

Bue

et al. 2015

Machine Vision and Applications

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This paper presents a new motion capture (MoCap) system, the garment-based motion capture system -GaMoCap. The key feature is the use of an easily wearable garment printed with colour-coded pattern and a generic multicamera setup with standard video cameras. The coded pattern allows a high-density distribution of markers per unit of surface (about 40 markers per 100 cm 2 ), avoiding markers-swap errors. The high density of markers reconstructed makes possible a simultaneous reconstruction of shape and motion, which gives several concurrent advantages with respect to the state of the art and providing performances comparable with previous marker-based systems. In particular, we provide effective solutions to counter the soft-tissue artefact which is a common problem for garment-based techniques. This effect is reduced using Point Cluster Technique to filter out the points strongly affected by non-rigid motion. Uncertainty of motion estimation has been experimentally quantified by comparing with a state-of-the-art commercial system and numerically predicted by means of a Monte Carlo Method procedure. The experimental evaluation was performed on three different articulated motions: shoulder, knee and hip flexion-extension. The results shows that for the three The work was supported by the motion angles estimated with GaMoCap, the system provides comparable accuracies against a commercial VICON system.

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Section: Image Processing For Shape Reconstructionmentioning

confidence: 99%

Garment-based motion capture (GaMoCap): high-density capture of human shape in motion

Biasi

Setti

Bue

et al. 2015

Machine Vision and Applications

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“…The related software manages 12 cameras, connected in a configuration of 6 stereo-pairs. The camera model parameters are estimated through camera calibration and an accurate description of this stage can be found in (De Cecco et al, 2009). Figure 2 shows the 3D reconstruction for the first and last frame acquired from the system for an eight frame long sequence.…”

Section: Image Acquisition and 3d Reconstructionmentioning

confidence: 99%

“…Although more computation is needed we believe this method is more robust when dealing with high curvature objects and when the lighting conditions are not optimal (White et al, 2007). Each stereo pair provides the depth evaluation of each point in the field of view; a compatibility analysis between points reconstructed from more than one stereo pair is performed by using Mahalanobis distance and the fusion of compatible points is performed employing a Bayesian approach (De Cecco et al, 2009). The output of the 3D reconstruction stage is a n × 5 matrix M for each frame such that:…”

Section: Image Acquisition and 3d Reconstructionmentioning

confidence: 99%

A Multi-View Stereo System for Articulated Motion Analysis

Setti

Cecco

Bue

2010

Proceedings of the International Conference on Computer Vision Theory and Applications

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In this paper we present a system for the motion segmentation of a human arm and the determination of its internal joint characteristics (position and degrees of freedom). In particular, we are interested in the segmentation of a set of 3D points lying over a pair of non-rigid bodies (arm and forearm) connected through a rotational joint (elbow). The complexity of the problem resides in the non-rigidity of the motion given by the human articulations and the soft tissues of the body (e.g. skin and muscles). In this work we address the aspects of 3D reconstruction by multi-stereo vision, frame-by-frame matching of the feature points, motion segmentation and the joint characteristics determination.

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“…However, a follow-up to the VDI standard is not considered here either. De Cecco et al [ 28 ] present an uncertainty analysis for the reconstruction of a 3D object. Three stages are defined, multi-stereo, multi-camera, and individual stereo.…”

Section: Introductionmentioning

confidence: 99%

Calibration Procedure of a Multi-Camera System: Process Uncertainty Budget

Leizea

Herrera

Puerto

2023

Sensors

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The Automated six Degrees of Freedom (DoF) definition of industrial components has become an added value in production processes as long as the required accuracy is guaranteed. This is where multi-camera systems are finding their niche in the market. These systems provide, among other things, the ease of automating tracking processes without human intervention and knowledge about vision and/or metrology. In addition, the cost of integrating a new sensor into the complete system is negligible compared to other multi-tracker systems. The increase in information from different points of view in multi-camera systems raises the accuracy, based on the premise that the more points of view, the lower the level of uncertainty. This work is devoted to the calibration procedures of multi-camera systems, which is decisive to achieve high performance, with a particular focus on the uncertainty budget. Moreover, an evaluation methodology has been carried out, which is key to determining the level of accuracy of the measurement system.

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A Unified Framework for Uncertainty, Compatibility Analysis, and Data Fusion for Multi-Stereo 3-D Shape Estimation

Cited by 14 publications

References 10 publications

Garment-based motion capture (GaMoCap): high-density capture of human shape in motion

Garment-based motion capture (GaMoCap): high-density capture of human shape in motion

A Multi-View Stereo System for Articulated Motion Analysis

Calibration Procedure of a Multi-Camera System: Process Uncertainty Budget

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